Estimating SARS-CoV-2 infection probabilities with serological data and a Bayesian mixture model
Abstract The individual results of SARS-CoV-2 serological tests measured after the first pandemic wave of 2020 cannot be directly interpreted as a probability of having been infected. Plus, these results are usually returned as a binary or ternary variable, relying on predefined cut-offs. We propose...
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| Asıl Yazarlar: | , , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2024-04-01
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| Seri Bilgileri: | Scientific Reports |
| Konular: | |
| Online Erişim: | https://doi.org/10.1038/s41598-024-60060-3 |
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